基于熵权算法的细分层系方法

Study for subdivision of layer series methods with entropy weight algorithm

考虑多因素影响进行层系划分时,应用传统的层次分析法计算各因素权重存在着需要专家进行评估打分的严重缺陷。为了更好地通过细分层系实现扩大波及系数和提高原油采收率的目的,针对层次分析法中存在的缺陷,提出了基于熵原理的权重计算方法。将该方法应用于瓦庄油田瓦6块的细分层系,能提高采收率6.3%。应用结果表明,由于熵权算法能够根据区块自身具体的客观条件自动计算各影响因素的权重,因而能够避免人为主观因素的干扰,在该方法基础上进行层系细分最终得到的层系划分与组合方式更加准确、合理,这可用于指导油田现场通过层系细分来提高原油采收率。

In response to theevaluation by experts is hampered by the application of the traditional analytic hierarchy process(AHP) methods,this paper proposed a new approach to calculate the weight of influence factors,based on entropy weight algorithm.Thus,sweep efficiency and oil recovery can be improved.Furthermore,the method was applied in subdivision of layer series of Wa-6 block and oil recovery could be improved by 6.3 percent.The results indicate that entropy weight algorithm can avoid the influence of artificial subjective factors because it can calculate the weight of influence factors automatically according to the objective conditions of the block.Thus,if entropy weight algorithm is used,the results of subdivision of layer series will be more accurate and reasonable.